get_hot_topics
Fetch trending discussions from USCardForum to identify active community conversations, breaking news, and time-sensitive opportunities based on engagement metrics.
Instructions
Fetch currently trending/hot topics from USCardForum.
This returns the most actively discussed topics right now, ranked by
engagement metrics like recent replies, views, and likes.
Use this to:
- See what the community is currently discussing
- Find breaking news or time-sensitive opportunities
- Discover popular ongoing discussions
Args:
page: Page number for pagination (0-indexed). Use page=1 to get more topics.
Returns a list of TopicSummary objects with fields:
- id: Topic ID (use with get_topic_posts)
- title: Topic title
- posts_count: Total replies
- views: View count
- like_count: Total likes
- created_at: Creation timestamp
- last_posted_at: Last activity timestamp
Example response interpretation:
A topic with high views but low posts may be informational.
A topic with many recent posts is actively being discussed.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number for pagination (0-indexed, default: 0) |
Implementation Reference
- The MCP tool handler for 'get_hot_topics', decorated with @mcp.tool(). Defines input schema via Annotated Field and calls the shared client to fetch hot topics.@mcp.tool() def get_hot_topics( page: Annotated[ int | None, Field(default=None, description="Page number for pagination (0-indexed, default: 0)"), ] = None, ) -> list[TopicSummary]: """ Fetch currently trending/hot topics from USCardForum. This returns the most actively discussed topics right now, ranked by engagement metrics like recent replies, views, and likes. Use this to: - See what the community is currently discussing - Find breaking news or time-sensitive opportunities - Discover popular ongoing discussions Args: page: Page number for pagination (0-indexed). Use page=1 to get more topics. Returns a list of TopicSummary objects with fields: - id: Topic ID (use with get_topic_posts) - title: Topic title - posts_count: Total replies - views: View count - like_count: Total likes - created_at: Creation timestamp - last_posted_at: Last activity timestamp Example response interpretation: A topic with high views but low posts may be informational. A topic with many recent posts is actively being discussed. """ return get_client().get_hot_topics(page=page)
- Pydantic BaseModel defining the TopicSummary output schema returned by get_hot_topics as list[TopicSummary].class TopicSummary(BaseModel): """Summary of a topic for list views (hot, new, top topics).""" id: int = Field(..., description="Unique topic identifier") title: str = Field(..., description="Topic title") posts_count: int = Field(0, description="Total number of posts") views: int = Field(0, description="Total view count") like_count: int = Field(0, description="Total likes on the topic") category_id: int | None = Field(None, description="Category identifier") category_name: str | None = Field(None, description="Category name") created_at: datetime | None = Field(None, description="When topic was created") last_posted_at: datetime | None = Field(None, description="Last activity time") class Config: extra = "ignore"
- Shared helper function get_client() that provides the DiscourseClient instance used by the get_hot_topics tool to perform the actual API call.def get_client() -> DiscourseClient: """Get or create the Discourse client instance.""" global _client, _login_attempted if _client is None: base_url = os.environ.get("USCARDFORUM_URL", "https://www.uscardforum.com") timeout = float(os.environ.get("USCARDFORUM_TIMEOUT", "15.0")) _client = DiscourseClient(base_url=base_url, timeout_seconds=timeout) # Auto-login if credentials are provided if not _login_attempted: _login_attempted = True username = os.environ.get("NITAN_USERNAME") password = os.environ.get("NITAN_PASSWORD") if username and password: try: result = _client.login(username, password) if result.success: print(f"[uscardforum] Auto-login successful as '{result.username}'") elif result.requires_2fa: print( "[uscardforum] Auto-login failed: 2FA required. Use login() tool with second_factor_token." ) else: print( f"[uscardforum] Auto-login failed: {result.error or 'Unknown error'}" ) except Exception as e: # pragma: no cover - logging side effect print(f"[uscardforum] Auto-login error: {e}") return _client